A review on micro-milling: recent advances and future trends

BZ Balázs, N Geier, M Takács, JP Davim - The International Journal of …, 2021 - Springer
Recently, mechanical micro-milling is one of the most promising micro-manufacturing
processes for productive and accurate complex-feature generation in various materials …

Advanced monitoring of machining operations

R Teti, K Jemielniak, G O'Donnell, D Dornfeld - CIRP annals, 2010 - Elsevier
CIRP has had a long history of research and publication on the development and
implementation of sensor monitoring of machining operations including tool condition …

[HTML][HTML] Identification of tool wear using acoustic emission signal and machine learning methods

P Twardowski, M Tabaszewski, M Wiciak–Pikuła… - Precision …, 2021 - Elsevier
The work concerns the monitoring of the edge condition based on acoustic emission (AE)
signals. The tool edge condition was determined by the wear width on the flank face. The …

Developments in integration of advanced monitoring systems

P Oborski - The International Journal of Advanced Manufacturing …, 2014 - Springer
Monitoring is an important part of manufacturing process control and management. It plays a
crucial role in ensuring agility in a manufacturing system, process robustness …

Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance

M Szydłowski, B Powałka, M Matuszak… - Precision …, 2016 - Elsevier
The paper presents a method for micro-milling tool wear inspection using machine vision.
An original Wavelet-based Extended Depth of Field image reconstruction is proposed. The …

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

Q Ren, M Balazinski, L Baron, K Jemielniak, R Botez… - Information …, 2014 - Elsevier
In this paper, a micromilling type-2 fuzzy tool condition monitoring system based on multiple
AE acoustic emission signal features is proposed. The type-2 fuzzy logic system is used as …

Quality monitoring of complex manufacturing systems on the basis of model driven approach

F Castaño, RE Haber, WM Mohammed… - Smart Structures …, 2020 - researchportal.tuni.fi
Monitoring of complex processes faces several challenges mainly due to the lack of relevant
sensory information or insufficient elaborated decision-making strategies. These challenges …

[PDF][PDF] Contemporary challenges in tool condition monitoring

K Jemielniak - Journal of Machine Engineering, 2019 - bibliotekanauki.pl
Implementation of robust, reliable tool condition monitoring (TCM) systems in one of the
preconditions of introducing of Industry 4.0. While there are a huge number of publications …

Application of wavelet transform of acoustic emission and cutting force signals for tool condition monitoring in rough turning of Inconel 625

K Jemielniak, J Kossakowska… - Proceedings of the …, 2011 - journals.sagepub.com
Nickel-based superalloys are widely used in the aircraft industry since they are exceptionally
thermal resistant, retaining their mechanical properties at temperatures of up to 700° C. On …

Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling

Q Ren, M Balazinski, K Jemielniak, L Baron, S Achiche - Soft Computing, 2013 - Springer
Prediction of cutting forces is very important for the design of cutting tools and for process
planning. This paper presents a fuzzy modelling method of cutting forces based on …